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Quantum-Enhanced Adversarial Robustness in Artificial Intelligence

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arXiv:2605. 28899v1 Announce Type: new Abstract: Artificial Intelligence has achieved remarkable success across diverse application domains.

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Authors: Jaydip Sen
Released: 2026-05-29 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Quantum-Enhanced Adversarial Robustness in Artificial Intelligence overlaps with clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)". Matching terms: class, rect, rate, full, position, model. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2605.28899

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